Apparatus and method for forecasted performance level adjustment and modification
An apparatus, method, and computer program product are provided to adjust and modify input signals used in connection with predictive models by detecting events, such as changes in operating parameters of data objects and/or related systems and calculating adjusted decay rates to be applied to time-series data associated with times prior to an occurrence of an event. In some example implementations, an indication of an event associated with a given datastream is received, in a manner which indicates the change in an operating parameter and the time at which the change occurred. Based at least in part on the indication of the event associated with the datastream, a second decay rate associated with the set of time-series data is determined and applied to the set of time-series data, such that an updated future performance level can be calculated by a predictive model.
1. An apparatus comprising at least one processor and at least one memory coupled to the processor, wherein the processor is configured to at least:
receive, via a network, a datastream, wherein the datastream comprises a set of time-series data associated with a performance level of a system, wherein the system is associated with an option data object, and wherein the option data object is associated with an option data object source;
calculate a first forecasted performance level, wherein the calculation of the first forecasted performance level is based at least in part on:
a portion of the time-series data associated with a predetermined period of time; and
a first decay rate associated with the set of time-series data;
receive, from the option data object source via the network, an indication of an event associated with the datastream, wherein the indication of the event comprises:
an identification of a change in an operating parameter of the system; and
an identification of a time at which the change in the operating parameter of the system occurred;
based at least in part on receiving the indication of the event associated with the datastream, determine a second decay rate associated with the set of time-series data; and
calculate a second forecasted performance level, wherein calculating the second forecasted performance level comprises applying the second decay rate to a portion of the time-series data, wherein the portion of the time-series data is associated with a time period prior to the time at which the change in the operating parameter of the system occurred;
determine, based on at least the first forecasted performance level and the second forecasted performance level, a ranking of the option data object;
transmit, via the network to a user of a viewer system, a presentation of the option data object, wherein the presentation of the option data object includes one or more other option data objects, and wherein the presentation of the option data object presents the option data object and the one or more other option data objects based on at least the ranking of the option data object.
2. The apparatus of claim 1 , wherein the set of times series data associated with a performance level of a system comprises a conversion rate associated with the option data object.
3. The apparatus of claim 2 , wherein the conversion rate associated with the option data object is determined based at least in part on a comparison between a quantity of conversions of the data object and a quantity of presentations of the option data object to one or more users of the system.
4. The apparatus of claim 2 , wherein the change in an operating parameter of the system comprises a change in an aspect of the option data object.
5. The apparatus of claim 4 , wherein the first calculated performance level comprises a first anticipated conversion rate associated with the option data object.
6. The apparatus of claim 5 , wherein the second calculated performance level comprises a second anticipated conversion rate associated with the option data object.
7. The apparatus of claim 1 , wherein applying the second decay rate to a portion of the time-series data, wherein the portion of the time-series data is associated with a time period prior to the time at which the change in the operating parameter of the system occurred comprises reducing a weight associated with the portion of the time-series data.
8. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions configured to:
receive, via a network, a datastream, wherein the datastream comprises a set of time-series data associated with a performance level of a system, wherein the system is associated with an option data object, and wherein the option data object is associated with an option data object source;
calculate a first forecasted performance level, wherein the calculation of the first forecasted performance level is based at least in part on:
a portion of the time-series data associated with a predetermined period of time; and
a first decay rate associated with the set of time-series data;
receive, from the option data object source via the network, an indication of an event associated with the datastream, wherein the indication of the event comprises:
an identification of a change in an operating parameter of the system; and
an identification of a time at which the change in the operating parameter of the system occurred;
based at least in part on receiving the indication of the event associated with the datastream, determine a second decay rate associated with the set of time-series data; and
calculate a second forecasted performance level, wherein calculating the second forecasted performance level comprises applying the second decay rate to a portion of the time-series data, wherein the portion of the time-series data is associated with a time period prior to the time at which the change in the operating parameter of the system occurred;
determine, based on at least the first forecasted performance level and the second forecasted performance level, a ranking of the option data object;
transmit, via the network to a user of a viewer system, a presentation of the option data object, wherein the presentation of the option data object includes one or more other option data objects, and wherein the presentation of the option data object presents the option data object and the one or more other option data objects based on at least the ranking of the option data object.
9. The computer program product of claim 8 , wherein the set of times series data associated with a performance level of a system comprises a conversion rate associated with the option data object.
10. The computer program product of claim 9 , wherein the conversion rate associated with the option data object is determined based at least in part on a comparison between a quantity of conversions of the data object and a quantity of presentations of the option data object to one or more users of the system.
11. The computer program product of claim 9 , wherein the change in an operating parameter of the system comprises a change in an aspect of the option data object.
12. The computer program product of claim 11 , wherein the first calculated performance level comprises a first anticipated conversion rate associated with the option data object.
13. The computer program product of claim 12 , wherein the second calculated performance level comprises a second anticipated conversion rate associated with the option data object.
14. The computer program product of claim 8 , wherein applying the second decay rate to a portion of the time-series data, wherein the portion of the time-series data is associated with a time period prior to the time at which the change in the operating parameter of the system occurred comprises reducing a weight associated with the portion of the time-series data.
15. A method for adjusting and modifying forecasted performance level, the method comprising:
receiving, via a network, a datastream, wherein the datastream comprises a set of time-series data associated with a performance level of a system, wherein the system is associated with an option data object, and wherein the option data object is associated with an option data object source;
calculating a first forecasted performance level, wherein the calculation of the first forecasted performance level is based at least in part on:
a portion of the time-series data associated with a predetermined period of time; and
a first decay rate associated with the set of time-series data;
receiving, from the option data object source via the network, an indication of an event associated with the datastream, wherein the indication of the event comprises:
an identification of a change in an operating parameter of the system; and
an identification of a time at which the change in the operating parameter of the system occurred;
based at least in part on receiving the indication of the event associated with the datastream, determining a second decay rate associated with the set of time-series data; and
calculating a second forecasted performance level, wherein calculating the second forecasted performance level comprises applying the second decay rate to a portion of the time-series data, wherein the portion of the time-series data is associated with a time period prior to the time at which the change in the operating parameter of the system occurred;
determining, based on at least the first forecasted performance level and the second forecasted performance level, a ranking of the option data object;
transmitting, via the network to a user of a viewer system, a presentation of the option data object, wherein the presentation of the option data object includes one or more other option data objects, and wherein the presentation of the option data object presents the option data object and the one or more other option data objects based on at least the ranking of the option data object.
16. The method of claim 15 , wherein the set of times series data associated with a performance level of a system comprises a conversion rate associated with the option data object.
17. The method of claim 16 , wherein the conversion rate associated with the option data object is determined based at least in part on a comparison between a quantity of conversions of the data object and a quantity of presentations of the option data object to one or more users of the system.
18. The method of claim 16 , wherein the change in an operating parameter of the system comprises a change in an aspect of the option data object.
19. The method of claim 18 , wherein the first calculated performance level comprises a first anticipated conversion rate associated with the option data object and wherein the second calculated performance level comprises a second anticipated conversion rate associated with the option data object.
20. The method of claim 15 , wherein applying the second decay rate to a portion of the time-series data, wherein the portion of the time-series data is associated with a time period prior to the time at which the change in the operating parameter of the system occurred comprises reducing a weight associated with the portion of the time-series data.